Collision avoidance strategy optimization based on danger immune algorithm |
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| Affiliation: | 1. University of Washington, Department of Civil and Environmental Engineering, Smart Transportation Applications and Research Laboratory, Seattle, WA, 98195 USA;2. Aalto University, School of Engineering, Department of Applied Mechanics, Marine Technology, Research Group on Maritime Risk and Safety, P.O. Box 12200, Aalto, FI-00076 Finland;1. Navigation College, Dalian Maritime University, Dalian,116026, China;2. College of Information Science and Technology, Dalian Maritime University, Dalian, 116026, China |
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| Abstract: | Marine collision accidents cause a great loss of lives and property. As a possible solution, the danger immune algorithm is used to achieve ship collision avoidance strategy optimization, which is a multi-objective problem concerning safety and economy. Collision avoidance operations are encoded as the individuals of optimization algorithm. In the system, ship domain and ship arena, among others, are used for collision risk evaluation to assess the fitness of individuals. Through the optimization, the navigator will obtain the optimal collision avoidance strategy to achieve safe and efficient collision avoidance. The simulations indicate that the optimization algorithm is valid. |
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| Keywords: | Collision avoidance Optimization Danger immune algorithm Collision risk Ship domain |
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